Tacit Knowledge Elicitation Techniques Applied to Complex Manufacturing Processes

Tacit knowledge is one of the main intangible assets in different corporations and an important issue is to explore new tacit knowledge elicitation techniques, being able to identify, categorize, represent, store and reuse this important knowledge type. This paper presents a new tacit knowledge technique called MAKMOSE (Manufacturing tAcit Knowledge MOtion Sequence Elicitation). The new knowledge elicitation technique explores the uses of motion sequence to explore the movements that workers and robots use when performing complex activities. This research provides a knowledge infrastructure representing a tacit knowledge super class to extract valuable experiences. This paper argues that the implementation of MAKMOSE requires exploration and connection of (a) a tacit knowledge infrastructure as a repository, (b) a tacit knowledge life cycle, and (c) implementing the right technology capturing valuable experiences through motion sequence. An important challenge is to demonstrate how new tacit knowledge types can be identified, categorized, stored and reused using motion sequences techniques. This paper presents some research ideas to implement the MAKMOSE in Complex Manufacturing Processes (CMP).